Statistical inference courses can help you learn hypothesis testing, confidence intervals, regression analysis, and data interpretation. You can build skills in analyzing sample data, making predictions, and drawing conclusions about larger populations. Many courses introduce tools like R and Python for statistical programming, as well as software for data visualization, which enhance your ability to apply statistical methods effectively.

Skills you'll gain: Model Evaluation, Scikit Learn (Machine Learning Library), Data Visualization, Feature Engineering, Data Preprocessing, Customer Analysis, Predictive Modeling, Predictive Analytics, Marketing Analytics, Applied Machine Learning, Logistic Regression, Data Cleansing, Data Manipulation, Advertising, Digital Advertising, Performance Analysis, Machine Learning, Python Programming, Deep Learning
Beginner · Guided Project · Less Than 2 Hours

Coursera
Skills you'll gain: Capital Budgeting, Business Valuation, Financial Analysis, Financial Modeling, Return On Investment, Financial Market, Finance, Investment Banking, Corporate Finance, Risk Management
Intermediate · Guided Project · Less Than 2 Hours

Howard University
Skills you'll gain: Correlation Analysis, Business Analysis, Spreadsheet Software, Analysis, Business Analytics, Microsoft Excel, Business Modeling, Risk Analysis, Complex Problem Solving, Data Analysis, Forecasting
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Machine Learning Methods, Deep Learning, Transfer Learning, Applied Machine Learning, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Artificial Neural Networks, Data Processing, Natural Language Processing, Feature Engineering
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Ggplot2, Tidyverse (R Package), Data Visualization, Data Analysis, Exploratory Data Analysis, R Programming, Data Visualization Software, Data Wrangling, Data Manipulation, R (Software)
Intermediate · Guided Project · Less Than 2 Hours

University of Houston
Skills you'll gain: Value-Based Care, Organizational Change, Care Coordination, Health Care Administration, Business Transformation, Organizational Effectiveness, Organizational Structure, Governance, Health Informatics, Expense Management, Performance Measurement, Financial Modeling
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Microsoft Excel, Excel Formulas, Data Management, Data Analysis, Data Cleansing, Pivot Tables And Charts, Analytical Skills, Data Manipulation, Data Entry, Statistical Analysis, Data Import/Export, Data Quality, Data Visualization Software, Data Validation, Forecasting
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Cloud Security, AWS Identity and Access Management (IAM), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Scalability, Cloud Computing, Amazon CloudWatch, Data Management
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Amazon Web Services, AWS Identity and Access Management (IAM), Amazon S3, Machine Learning
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Project Finance, Feasibility Studies, Cost Estimation, Financial Analysis, Project Risk Management, Risk Analysis, Return On Investment, Financial Statements, Financial Modeling, Case Studies, Stakeholder Analysis, Due Diligence, Loans, Cash Flows, Market Analysis
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Large Language Modeling, Generative AI, Model Deployment, Natural Language Processing, Prompt Engineering, Deep Learning, MLOps (Machine Learning Operations), Cloud Deployment, Model Evaluation, Continuous Monitoring, Data Cleansing, Machine Learning
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Machine Learning, Applied Machine Learning, Research, Model Evaluation, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Research Design, Data Collection, Surveys, Human Factors, Classification Algorithms, Experimentation, Data Quality, Statistical Analysis
Intermediate · Course · 1 - 3 Months